UAV detection algorithm based on the difference of power dispersion

Autor:	Hong-li Cheng, Long-fei Jia, Cheng Yuan
Rok vydání:	2021
Předmět:	History Computer science Dispersion (optics) ComputerApplications_COMPUTERSINOTHERSYSTEMS Computer Science Applications Education Power (physics) Computational physics
Zdroj:	Journal of Physics: Conference Series. 2093:012011
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2093/1/012011
Popis:	With the development and popularization of UAVs, illegal UAV accidents occur frequently. The complex signal environment in the city brings difficulties to detect UAV signal. In order to detect the UAV signal in the complex environment, this paper proposes a UAV detection algorithm based on the difference of power dispersion in time. Firstly, the algorithm performs short-time Fourier transform on the signal to obtain the time-frequency matrix. Secondly, The fixed frequency interference in the matrix is filtered by the local adaptive threshold. Finally, the UAV image transmission signal is detected by the discrete difference in time between image transmission signal and WiFi. Simulation results show that the algorithm can detect UAV signal under constant frequency interference and WiFi interference.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::927d1eedc406df3402abf6eedfdff8ce https://doi.org/10.1088/1742-6596/2093/1/012011 Zobrazit plný text záznamu